How to find monolayer material regions in microscope images
조회 수: 1 (최근 30일)
이전 댓글 표시
I have got optical microscope images of material samples on substrate, and I am trying to use image processing toolbox to help detect monolayers in these images (The 1L regions of attached images). I tried to use 'Canny' edge detection function in matlab image processing toolbox with a upper and lower threshold to find the slight color change between 1L regions and background while neglecting sharp edges (like edges between 2L, 3L regions), but this method is not stable and may give fault edges if there are crack or gaps inside many layer regions. I am thinking if a neutral network or other kind of models can be trained to recognize these regions.Any suggestion on this image processing problem?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/167918/image.jpeg)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/167919/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/167920/image.jpeg)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/167921/image.png)
댓글 수: 0
답변 (1개)
Image Analyst
2017년 10월 6일
What defines the 1L regions? Is it the color? The thickness? The aspect ratio? The area? If it's the color, a simple delta E color difference could be good enough. See my demo http://www.mathworks.com/matlabcentral/fileexchange/31118-color-segmentation-by-delta-e-color-difference
참고 항목
카테고리
Help Center 및 File Exchange에서 Image Data Workflows에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!